{"id":"W4408281448","doi":"10.1109/iecon55916.2024.10905301","title":"An Improved Zeta-Based DC-DC Converter","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Flyback converter; Forward converter; Charge pump; Electrical engineering; Computer science; Boost converter; Voltage; Capacitor; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001571059,0.0003191643,0.0003799477,0.0003778941,0.0002995621,0.001021707,0.00097783,0.0003104921,0.004228362],"category_scores_gemma":[0.0001674747,0.0001322996,0.0002444753,0.0003733305,0.0002511394,0.0006968822,0.0005081228,0.0005946451,0.00188972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003378114,"about_ca_system_score_gemma":0.0002873468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000287929,"about_ca_topic_score_gemma":0.0004530067,"domain_scores_codex":[0.9998372,0.0000167718,0.000007727124,0.00003573102,0.00008773989,0.00001487339],"domain_scores_gemma":[0.9999216,0.000006813317,0.000005212903,0.000009009476,0.00004769419,0.000009696696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004760743,0.000171509,0.000579733,0.0005420682,0.00004714659,0.0006264172,0.0001710786,0.02813457,0.7177236,0.05263754,0.005382695,0.1935076],"study_design_scores_gemma":[0.0002196148,0.001057266,0.001824482,0.0001381812,0.0001102096,0.002748248,0.0001311412,0.518016,0.3648595,0.01322703,0.09757779,0.00009059585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1057065,0.001807767,0.8280117,0.000409496,0.0004593355,0.0001961434,0.0002420708,0.00193604,0.0612311],"genre_scores_gemma":[0.8959157,0.000953022,0.07497106,0.0002833502,0.0001331424,0.00006796436,0.0002324072,0.00008620669,0.0273571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004228362,"threshold_uncertainty_score":0.01414526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006802273269724554,"score_gpt":0.2217074663888905,"score_spread":0.2149051931191659,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}